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• 1. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2013

  The dataset also includes: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 (prepared January 2013) Estimates of Population ...

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2013 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2014 The dataset also includes: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 (prepared January 2013) Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011 (prepared January 2011) Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2013 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2014 The dataset also includes: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 (prepared January 2013) Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011 (prepared January 2011) Close

• 2. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015

  Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015. Prepared by Population Research Center, Portland State University, January ...

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015 Author: Proehl, Risa, Portland State University. Population Research Center Year: 2016 Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015. Prepared by Population Research Center, Portland State University, January 2016. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015 Author: Proehl, Risa, Portland State University. Population Research Center Year: 2016 Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2015. Prepared by Population Research Center, Portland State University, January 2016. Close

• 3. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2014

  Estimates of population age groups for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2014 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2015 Estimates of population age groups for Oregon and its counties. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2014 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2015 Estimates of population age groups for Oregon and its counties. Close

• 4. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011

  Estimates of population age groups for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2012 Estimates of population age groups for Oregon and its counties. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2011 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2012 Estimates of population age groups for Oregon and its counties. Close

• 5. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2010

  Estimates of population age groups for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2010 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2010 Estimates of population age groups for Oregon and its counties. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2010 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2010 Estimates of population age groups for Oregon and its counties. Close

• 6. [Article] Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012

  Estimates of population age groups for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2013 Estimates of population age groups for Oregon and its counties. Title: Estimates of Population Age Groups (ages under 18 yrs., 18-64 yrs., and 65 yrs. and over) for Oregon and Its Counties, July 1, 2012 Author: Portland State University. Population Research Center, Proehl, Risa Year: 2013 Estimates of population age groups for Oregon and its counties. Close

• 7. [Article] 2000-2009 Intercensal Population Estimates by Age Group for Oregon and Counties

  This item only contains Oregon population tables, by age group, comparing 2000 and 2009 census data.

  Citation × Citation Citation Abstract Copy Title: 2000-2009 Intercensal Population Estimates by Age Group for Oregon and Counties Author: Portland State University. Population Research Center Year: 2010 This item only contains Oregon population tables, by age group, comparing 2000 and 2009 census data. Title: 2000-2009 Intercensal Population Estimates by Age Group for Oregon and Counties Author: Portland State University. Population Research Center Year: 2010 This item only contains Oregon population tables, by age group, comparing 2000 and 2009 census data. Close

• 8. [Article] Estimates for Population Ages 4-20 Years for Oregon and Its Counties

  Estimates for population ages 4-20 years for Oregon and its counties.

  Citation × Citation Citation Abstract Copy Title: Estimates for Population Ages 4-20 Years for Oregon and Its Counties Author: Portland State University. Population Research Center, Proehl, Risa Year: 2010 Estimates for population ages 4-20 years for Oregon and its counties. Title: Estimates for Population Ages 4-20 Years for Oregon and Its Counties Author: Portland State University. Population Research Center, Proehl, Risa Year: 2010 Estimates for population ages 4-20 years for Oregon and its counties. Close

• 9. [Article] Coordinated Population Forecast for Wheeler County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Wheeler ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Wheeler County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Wheeler County’s total population has declined slowly since 2000, with average annual growth rates of just above negative one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced some population growth during the 2000s. Fossil, the most populous UGB, experienced small growth and Spray posted the highest average annual growth rate at 0.1 and 1.1 percent, respectively, during the 2000 to 2010 period. Wheeler County’s population decline in the 2000s was the direct result of an aging population. The aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This, along with more women choosing to have fewer children and have them at older ages, has led to fewer births in recent years. The larger number of deaths relative to births caused a natural decrease (more deaths than births) in every year from 2000 to 2015 (Figure 12). While net in-migration and natural decrease compounded to create a substantial population decrease during the early and middle years of the last decade, migration into the county increased in the later part of the decade and helped to offset the natural decrease. Net out-migration was still substantial for populations between the ages of 20 and 29 years from 2000 to 2010, but there has been net in-migration for a slightly older population from 30 to 39 years of age. In more recent years (2010 to 2015) net in-migration has increased, bringing with it some slight population growth. Total population in Wheeler County as a whole as well as within its sub-areas will likely decline at a slightly slower pace in the near-term (2016 to 2035) compared to the long-term (Figure 1). The declining of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to a steady natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Wheeler County’s total population is forecast to decrease by more than 90 over the next 19 years (2016- 2035) and by more than 300 over the entire 50-year forecast period (2016-2066). All sub-areas are expected to experience similar rates of population decline during the forecast period. Title: Coordinated Population Forecast for Wheeler County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Wheeler County’s total population has declined slowly since 2000, with average annual growth rates of just above negative one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced some population growth during the 2000s. Fossil, the most populous UGB, experienced small growth and Spray posted the highest average annual growth rate at 0.1 and 1.1 percent, respectively, during the 2000 to 2010 period. Wheeler County’s population decline in the 2000s was the direct result of an aging population. The aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This, along with more women choosing to have fewer children and have them at older ages, has led to fewer births in recent years. The larger number of deaths relative to births caused a natural decrease (more deaths than births) in every year from 2000 to 2015 (Figure 12). While net in-migration and natural decrease compounded to create a substantial population decrease during the early and middle years of the last decade, migration into the county increased in the later part of the decade and helped to offset the natural decrease. Net out-migration was still substantial for populations between the ages of 20 and 29 years from 2000 to 2010, but there has been net in-migration for a slightly older population from 30 to 39 years of age. In more recent years (2010 to 2015) net in-migration has increased, bringing with it some slight population growth. Total population in Wheeler County as a whole as well as within its sub-areas will likely decline at a slightly slower pace in the near-term (2016 to 2035) compared to the long-term (Figure 1). The declining of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to a steady natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Wheeler County’s total population is forecast to decrease by more than 90 over the next 19 years (2016- 2035) and by more than 300 over the entire 50-year forecast period (2016-2066). All sub-areas are expected to experience similar rates of population decline during the forecast period. Close

• 10. [Article] Population Tables for State, Counties and Cities

  Tables include: Components of Annual Population Change for Oregon: 1960 to 2010 Population Estimates of Oregon by Area Type and Specific Metropolitan Areas: 2000 to 2010 Components of Population Change ...

  Citation × Citation Citation Abstract Copy Title: Population Tables for State, Counties and Cities Author: Portland State University. Population Research Center Year: 2011 Tables include: Components of Annual Population Change for Oregon: 1960 to 2010 Population Estimates of Oregon by Area Type and Specific Metropolitan Areas: 2000 to 2010 Components of Population Change for Oregon's Counties: April 1, 2000 to July 1, 2010 Population Estimates for Oregon and Its Counties and Incorporated Cities: April 1, 2000 to July 1, 2010 Population Estimates for Incorporated Cities Located in More than One County Rank of Incorporated Cities by July 1, 2010 Population Size Alphabetical Listing of Incorporated Cities with Population for July 1, 2010 Population Added to Incorporated Cities Due to Annexations: April 1, 2000 - July 1, 2010 Population by Age and Sex for Oregon and Its Counties: July 1, 2010 Population by Age Groups (less than 18 Years, 18-64 Years, and 65 Years and Older) for Oregon and Its Counties: July 1, 2010 Title: Population Tables for State, Counties and Cities Author: Portland State University. Population Research Center Year: 2011 Tables include: Components of Annual Population Change for Oregon: 1960 to 2010 Population Estimates of Oregon by Area Type and Specific Metropolitan Areas: 2000 to 2010 Components of Population Change for Oregon's Counties: April 1, 2000 to July 1, 2010 Population Estimates for Oregon and Its Counties and Incorporated Cities: April 1, 2000 to July 1, 2010 Population Estimates for Incorporated Cities Located in More than One County Rank of Incorporated Cities by July 1, 2010 Population Size Alphabetical Listing of Incorporated Cities with Population for July 1, 2010 Population Added to Incorporated Cities Due to Annexations: April 1, 2000 - July 1, 2010 Population by Age and Sex for Oregon and Its Counties: July 1, 2010 Population by Age Groups (less than 18 Years, 18-64 Years, and 65 Years and Older) for Oregon and Its Counties: July 1, 2010 Close

• 11. [Article] North Santiam School District Population and Enrollment Forecasts, 2011-12 to 2025-26

  This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the North Santiam School District (NSSD). The three district‐wide ...

  Citation × Citation Citation Abstract Copy Title: North Santiam School District Population and Enrollment Forecasts, 2011-12 to 2025-26 Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian Year: 2011 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the North Santiam School District (NSSD). The three district‐wide Enrollment Forecast scenarios for the period 2011‐12 to 2025‐26 describe a long‐range in which enrollment is either relatively stable (LOW series), growing moderately (MIDDLE series), or growing rapidly (HIGH series). They differ due in their assumptions about migration levels as well as the share of District school‐age residents attending NSSD schools. Assumptions for migration rates by age and sex incorporate observations from the 1990s and 2000s, and population growth levels in each scenario are consistent with recent population forecasts for Marion County and Stayton and Sublimity. Growth expectations in the 2010 to 2020 period are tempered by the reality that employment is recovering slowly from the recession and major new industrial or residential development is not expected in the short term. In the first two years of the forecast, 2011‐12 and 2012‐13, both the LOW and MIDDLE forecasts predict overall K‐12 enrollment losses, while the HIGH forecast predicts very small gains. During the remaining 13 years of the forecast, each of the three forecasts indicates enrollment growth, though at very different rates. Title: North Santiam School District Population and Enrollment Forecasts, 2011-12 to 2025-26 Author: Portland State University. Population Research Center, Rynerson, Charles, Siu, Vivian Year: 2011 This report presents the results of a demographic study conducted by the Portland State University Population Research Center (PRC) for the North Santiam School District (NSSD). The three district‐wide Enrollment Forecast scenarios for the period 2011‐12 to 2025‐26 describe a long‐range in which enrollment is either relatively stable (LOW series), growing moderately (MIDDLE series), or growing rapidly (HIGH series). They differ due in their assumptions about migration levels as well as the share of District school‐age residents attending NSSD schools. Assumptions for migration rates by age and sex incorporate observations from the 1990s and 2000s, and population growth levels in each scenario are consistent with recent population forecasts for Marion County and Stayton and Sublimity. Growth expectations in the 2010 to 2020 period are tempered by the reality that employment is recovering slowly from the recession and major new industrial or residential development is not expected in the short term. In the first two years of the forecast, 2011‐12 and 2012‐13, both the LOW and MIDDLE forecasts predict overall K‐12 enrollment losses, while the HIGH forecast predicts very small gains. During the remaining 13 years of the forecast, each of the three forecasts indicates enrollment growth, though at very different rates. Close

• 12. [Article] Coordinated Population Forecast for Gilliam County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066

  Gilliam County’s total population declined during the 2000s, with average annual growth rate of negative two-tenths of one percent (Figure 1); however, since 2010 the county has seen a slight increase ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Gilliam County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Gilliam County’s total population declined during the 2000s, with average annual growth rate of negative two-tenths of one percent (Figure 1); however, since 2010 the county has seen a slight increase in population, growing by more than 100 persons between 2010 and 2015 (Figure 2). Gilliam County’s population decline in the 2000s was the result of a steady natural decrease and periods of net out-migration (Figure 12). The larger number of deaths relative to births has led to a natural decrease in nearly every year from 2000 to 2010. While net in-migration fluctuated during the early and middle years of the last decade, the number of in-migrants has been increased stably during recent years, contributing to population increase since 2009. Total population in Gilliam County as a whole is expected to increase over the forecast period, with the majority of this growth occurring within Arlington UGB (Figure 1). Increasing net in-migration is expected to offset the growth in the natural decrease throughout the entire 50-year forecast period. An aging population in the near-term is expected to not only lead to an increase in deaths, but a smaller proportion of women in their childbearing years will likely result in a steady number of births. During the final 31 years of the forecast period, the population is expected to shift toward younger ages leading to more births and a steady number of deaths. This combined with steady net in-migration is expected to lead to continued steady population growth. Title: Coordinated Population Forecast for Gilliam County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2016-2066 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Tetrick, David, Michel, Julia Year: 2016 Gilliam County’s total population declined during the 2000s, with average annual growth rate of negative two-tenths of one percent (Figure 1); however, since 2010 the county has seen a slight increase in population, growing by more than 100 persons between 2010 and 2015 (Figure 2). Gilliam County’s population decline in the 2000s was the result of a steady natural decrease and periods of net out-migration (Figure 12). The larger number of deaths relative to births has led to a natural decrease in nearly every year from 2000 to 2010. While net in-migration fluctuated during the early and middle years of the last decade, the number of in-migrants has been increased stably during recent years, contributing to population increase since 2009. Total population in Gilliam County as a whole is expected to increase over the forecast period, with the majority of this growth occurring within Arlington UGB (Figure 1). Increasing net in-migration is expected to offset the growth in the natural decrease throughout the entire 50-year forecast period. An aging population in the near-term is expected to not only lead to an increase in deaths, but a smaller proportion of women in their childbearing years will likely result in a steady number of births. During the final 31 years of the forecast period, the population is expected to shift toward younger ages leading to more births and a steady number of deaths. This combined with steady net in-migration is expected to lead to continued steady population growth. Close

• 13. [Article] The Path Ahead: Future enrollments in Portland Public Schools, 2000-2010

  This report provides a school Enrollment Forecast, including demographic information, for Portland Public Schools. The report considers several factors that are likely to affect the school district's enrollments ...

  Citation × Citation Citation Abstract Copy Title: The Path Ahead: Future enrollments in Portland Public Schools, 2000-2010 Author: Portland State University. Population Research Center, Edmonston, Barry Year: 2000 This report provides a school Enrollment Forecast, including demographic information, for Portland Public Schools. The report considers several factors that are likely to affect the school district's enrollments between the present and 2010, including the future number of births, net migrants, and the proportion of school-age children and youth enrolled in the public schools. To take into account a variety of demographic and enrollment possibilities, this report describes five different scenarios of housing, population, and enrollment changes for the ten years between 2000 to 2010. Title: The Path Ahead: Future enrollments in Portland Public Schools, 2000-2010 Author: Portland State University. Population Research Center, Edmonston, Barry Year: 2000 This report provides a school Enrollment Forecast, including demographic information, for Portland Public Schools. The report considers several factors that are likely to affect the school district's enrollments between the present and 2010, including the future number of births, net migrants, and the proportion of school-age children and youth enrolled in the public schools. To take into account a variety of demographic and enrollment possibilities, this report describes five different scenarios of housing, population, and enrollment changes for the ten years between 2000 to 2010. Close

• 14. [Article] Changing Times, Changing Enrollments: How Recent Demographic Trends are Affecting Enrollments in Portland Public Schools

  The purpose of this report is to provide an analysis of the demographic factors affecting recent enrollment changes in Portland Public Schools. Toward this goal, the report discusses how trends in births, ...

  Citation × Citation Citation Abstract Copy Title: Changing Times, Changing Enrollments: How Recent Demographic Trends are Affecting Enrollments in Portland Public Schools Author: Portland State University. Population Research Center, Edmonston, Barry Year: 2000 The purpose of this report is to provide an analysis of the demographic factors affecting recent enrollment changes in Portland Public Schools. Toward this goal, the report discusses how trends in births, migration, and international migration have affected public school enrollments in Portland. This report reaches four main conclusions: * First and foremost, public school enrollments have declined in recent years primarily because there have been sizeable decreases in the number of students entering kindergarten and the early elementary school grades. Smaller numbers of entering students are, in turn, the result of substantial reductions in the number of births--reductions that began in 1991. Because there were fewer births in the early 1990s, fewer students enrolled in school in the late 1990s. The number of births declined in the 1980s primarily because there were decreases in the number of younger couples--not because there were decreases in the average number of births per couples in the 1980s. * The number of births has continued to decline in the 1990s. The lower number of births in the second half of the decade has not yet affected school enrollments. But they will add to declines in school enrollments in the future, starting after about 2002. Although there was net out-migration of school-age children, in the 1980s and 1990s, net out-migration of school-age children appears to have increased in the late 1990s, further reducing enrollments. * Increased international migration into the Portland metropolitan area has ameliorated the decline in enrollments by adding several thousand foreign-born students to the Portland Public Schools. Immigrant couples are contributing an increasing number of births to the population. Births to immigrants partially counterbalance fertility declines among native-born residents. * There is conflicting evidence from public, private, and home schooling data on changes in public school capture rates (the proportion of school age children enrolled in Portland Public Schools). Available data, however, suggest that changes in capture rates have not been a major determinant of public school enrollment trends. Title: Changing Times, Changing Enrollments: How Recent Demographic Trends are Affecting Enrollments in Portland Public Schools Author: Portland State University. Population Research Center, Edmonston, Barry Year: 2000 The purpose of this report is to provide an analysis of the demographic factors affecting recent enrollment changes in Portland Public Schools. Toward this goal, the report discusses how trends in births, migration, and international migration have affected public school enrollments in Portland. This report reaches four main conclusions: * First and foremost, public school enrollments have declined in recent years primarily because there have been sizeable decreases in the number of students entering kindergarten and the early elementary school grades. Smaller numbers of entering students are, in turn, the result of substantial reductions in the number of births--reductions that began in 1991. Because there were fewer births in the early 1990s, fewer students enrolled in school in the late 1990s. The number of births declined in the 1980s primarily because there were decreases in the number of younger couples--not because there were decreases in the average number of births per couples in the 1980s. * The number of births has continued to decline in the 1990s. The lower number of births in the second half of the decade has not yet affected school enrollments. But they will add to declines in school enrollments in the future, starting after about 2002. Although there was net out-migration of school-age children, in the 1980s and 1990s, net out-migration of school-age children appears to have increased in the late 1990s, further reducing enrollments. * Increased international migration into the Portland metropolitan area has ameliorated the decline in enrollments by adding several thousand foreign-born students to the Portland Public Schools. Immigrant couples are contributing an increasing number of births to the population. Births to immigrants partially counterbalance fertility declines among native-born residents. * There is conflicting evidence from public, private, and home schooling data on changes in public school capture rates (the proportion of school age children enrolled in Portland Public Schools). Available data, however, suggest that changes in capture rates have not been a major determinant of public school enrollment trends. Close

• 15. [Article] Coordinated Population Forecast for Josephine County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

  Different growth patterns occur in different parts of the county and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Josephine ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Josephine County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the county and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Josephine County’s total population as a whole has grown slowly since 2000; with an average annual growth rate of less than one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Grants Pass and Cave Junction posted average annual growth rates at 2.1 and 1.6 percent, respectively, during the 2000 to 2010 period. Josephine County’s positive population growth in the 2000s was the result of substantial net inmigration. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to slow growth in the number of births. The growing number of deaths and shrinking number of births led to natural decrease—more deaths than births—in every year from 2000 to 2014. While net in-migration outweighed natural decrease during the early and middle years of the last decade, the gap between these two numbers shrank during the later years— bringing population decline in 2012. Since 2012 net in-migration has increased, driving population increase for 2013 and 2014. Total population in Josephine County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the first 20 years of the forecast period (2015 to 2035) relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to lead to natural decrease (more deaths than births). As natural decrease occurs over time population growth is expected to become increasingly reliant on net in-migration. Even so, Josephine County’s total population is forecast to increase by more than 16,000 over the next 20 years (2015-2035) and by nearly 38,000 over the entire 50-year forecast period (2015-2065). Subareas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Title: Coordinated Population Forecast for Josephine County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the county and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Josephine County’s total population as a whole has grown slowly since 2000; with an average annual growth rate of less than one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Grants Pass and Cave Junction posted average annual growth rates at 2.1 and 1.6 percent, respectively, during the 2000 to 2010 period. Josephine County’s positive population growth in the 2000s was the result of substantial net inmigration. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to slow growth in the number of births. The growing number of deaths and shrinking number of births led to natural decrease—more deaths than births—in every year from 2000 to 2014. While net in-migration outweighed natural decrease during the early and middle years of the last decade, the gap between these two numbers shrank during the later years— bringing population decline in 2012. Since 2012 net in-migration has increased, driving population increase for 2013 and 2014. Total population in Josephine County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the first 20 years of the forecast period (2015 to 2035) relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to lead to natural decrease (more deaths than births). As natural decrease occurs over time population growth is expected to become increasingly reliant on net in-migration. Even so, Josephine County’s total population is forecast to increase by more than 16,000 over the next 20 years (2015-2035) and by nearly 38,000 over the entire 50-year forecast period (2015-2065). Subareas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Close

• 16. [Article] Coordinated Population Forecast for Coos County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

  Different growth patterns occur in different parts of the county, and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Coos ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Coos County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the county, and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Coos County’s total population has grown slowly since 2000; with average annual growth rates of nearly zero between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more population growth during the 2000s. Lakeside and Bandon, for example, posted the highest average annual growth rates at 2.2 and 0.6 percent, respectively, during the 2000 to 2010 period. Coos County’s positive population growth in the 2000s was the result of sporadic net in-migration. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to fewer births in recent years. The larger number of deaths relative to births caused natural decrease (more deaths than births) in every year from 2000 to 2014. While periods of net in-migration outweighed natural decrease during the last decade, the gap between these two numbers shrank during the later years—bringing population decline from 2009 to 2013. Total population in Coos County as a whole, as well as within its sub-areas, will likely grow at a slightly faster pace in the first 20 years of the forecast period, and more slowly in the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend already yielding natural decrease (births minus deaths). As natural decrease persists and becomes more pronounced over time, population growth in Coos County is expected to become increasingly reliant on net in-migration. Even so, Coos County’s total population is forecast to increase by more than 1,200 over the next 20 years (2015-2035) and by more than 2,500 over the entire 50 year forecast period. Sub-areas that showed strong population growth in the 2000s will likely experience similar rates of population growth during the forecast period. Some sub-areas that experienced population loss in the 2000s are expected to show population gains throughout the forecast period, although these gains will likely be small. Title: Coordinated Population Forecast for Coos County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the county, and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Coos County’s total population has grown slowly since 2000; with average annual growth rates of nearly zero between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more population growth during the 2000s. Lakeside and Bandon, for example, posted the highest average annual growth rates at 2.2 and 0.6 percent, respectively, during the 2000 to 2010 period. Coos County’s positive population growth in the 2000s was the result of sporadic net in-migration. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to fewer births in recent years. The larger number of deaths relative to births caused natural decrease (more deaths than births) in every year from 2000 to 2014. While periods of net in-migration outweighed natural decrease during the last decade, the gap between these two numbers shrank during the later years—bringing population decline from 2009 to 2013. Total population in Coos County as a whole, as well as within its sub-areas, will likely grow at a slightly faster pace in the first 20 years of the forecast period, and more slowly in the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend already yielding natural decrease (births minus deaths). As natural decrease persists and becomes more pronounced over time, population growth in Coos County is expected to become increasingly reliant on net in-migration. Even so, Coos County’s total population is forecast to increase by more than 1,200 over the next 20 years (2015-2035) and by more than 2,500 over the entire 50 year forecast period. Sub-areas that showed strong population growth in the 2000s will likely experience similar rates of population growth during the forecast period. Some sub-areas that experienced population loss in the 2000s are expected to show population gains throughout the forecast period, although these gains will likely be small. Close

• 17. [Article] Coordinated Population Forecast for Crook County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

  Different growth patterns occur in different parts of the County and these local trends within the Prineville UGB and the area outside the UGB collectively influence population growth rates for the county ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Crook County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the County and these local trends within the Prineville UGB and the area outside the UGB collectively influence population growth rates for the county as a whole. Crook County’s total population has grown slowly since 2000; with average annual growth rates of less than one percent between 2000 and 2010 (Figure 1); however the area outside the Prineville UGB experienced more rapid population growth during the 2000s. Prineville, the only UGB, posted an average annual growth rate of 0.6 percent, while the area outside the UGB grew at an average annual rate of 1.2 percent during the 2000 to 2010 period. Crook County experienced substantial swings in net migration throughout the last decade (2000 to 2010), as a result the countywide population growth rate also fluctuated. At the same time an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to a decline in the number of births. The growing number of deaths and shrinking number of births led to natural decrease—more deaths than births—beginning in 2011. While net inmigration and natural increase contributed to substantial population growth from 2005 to 2008, both of these numbers shrank during more recent years—leading to population decline between 2009 and 2012. Total population in Crook County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the first 20 years of the forecast period (2015 to 2035) relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an expected aging population—a demographic trend which will lead to declining natural increase (births minus deaths). As natural increase declines, population growth will become increasingly reliant on net in-migration. Even so, Crook County’s total population is expected to increase by more than 2,700 over the next 20 years (2015-2035) and by more than 4,500 over the entire 50-year forecast period (2015-2065). The Prineville UGB is forecast to show slightly stronger population growth—relative to the 2000s— in the initial 20-year forecast period, but is expected to slow down substantially during the last 30 years. The area outside the UGB will likely grow at a steadier rate than Prineville throughout the forecast period. Title: Coordinated Population Forecast for Crook County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the County and these local trends within the Prineville UGB and the area outside the UGB collectively influence population growth rates for the county as a whole. Crook County’s total population has grown slowly since 2000; with average annual growth rates of less than one percent between 2000 and 2010 (Figure 1); however the area outside the Prineville UGB experienced more rapid population growth during the 2000s. Prineville, the only UGB, posted an average annual growth rate of 0.6 percent, while the area outside the UGB grew at an average annual rate of 1.2 percent during the 2000 to 2010 period. Crook County experienced substantial swings in net migration throughout the last decade (2000 to 2010), as a result the countywide population growth rate also fluctuated. At the same time an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to a decline in the number of births. The growing number of deaths and shrinking number of births led to natural decrease—more deaths than births—beginning in 2011. While net inmigration and natural increase contributed to substantial population growth from 2005 to 2008, both of these numbers shrank during more recent years—leading to population decline between 2009 and 2012. Total population in Crook County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the first 20 years of the forecast period (2015 to 2035) relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an expected aging population—a demographic trend which will lead to declining natural increase (births minus deaths). As natural increase declines, population growth will become increasingly reliant on net in-migration. Even so, Crook County’s total population is expected to increase by more than 2,700 over the next 20 years (2015-2035) and by more than 4,500 over the entire 50-year forecast period (2015-2065). The Prineville UGB is forecast to show slightly stronger population growth—relative to the 2000s— in the initial 20-year forecast period, but is expected to slow down substantially during the last 30 years. The area outside the UGB will likely grow at a steadier rate than Prineville throughout the forecast period. Close

• 18. [Article] Coordinated Population Forecast for Curry County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

  Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Curry ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Curry County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Curry County’s total population has grown slowly since 2000; with an average annual growth rate of less than one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Gold Beach posted the highest average annual growth rate at one percent during the 2000 to 2010 period. Curry County’s positive population growth in the 2000s was the result of sporadic net in-migration. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to fewer births in recent years. The larger number of deaths relative to births caused natural decrease (more deaths than births) in every year from 2000 to 2014. While periods of net in-migration outweighed natural decrease during the last decade, the gap between these two numbers shrank during the later years—bringing population decline from 2009 to 2012. Total population in Curry County as a whole will likely grow at a faster pace in the first 20 years of the forecast period (2015 to 2035), relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to exacerbate natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. For the area outside UGBs this will likely lead to population decline during the last 30 years of the forecast period. The remaining sub-areas are expected to see population increase over this same time period. Even so, Curry County’s total population is forecast to increase by nearly 3,900 over the next 20 years (2015-2035) and by more than 4,700 over the entire 50-year forecast period (2015-2065). Sub-areas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Title: Coordinated Population Forecast for Curry County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Curry County’s total population has grown slowly since 2000; with an average annual growth rate of less than one percent between 2000 and 2010 (Figure 1); however some of its sub-areas experienced more rapid population growth during the 2000s. Gold Beach posted the highest average annual growth rate at one percent during the 2000 to 2010 period. Curry County’s positive population growth in the 2000s was the result of sporadic net in-migration. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to fewer births in recent years. The larger number of deaths relative to births caused natural decrease (more deaths than births) in every year from 2000 to 2014. While periods of net in-migration outweighed natural decrease during the last decade, the gap between these two numbers shrank during the later years—bringing population decline from 2009 to 2012. Total population in Curry County as a whole will likely grow at a faster pace in the first 20 years of the forecast period (2015 to 2035), relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to exacerbate natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. For the area outside UGBs this will likely lead to population decline during the last 30 years of the forecast period. The remaining sub-areas are expected to see population increase over this same time period. Even so, Curry County’s total population is forecast to increase by nearly 3,900 over the next 20 years (2015-2035) and by more than 4,700 over the entire 50-year forecast period (2015-2065). Sub-areas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Close

• 19. [Article] Coordinated Population Forecast for Deschutes County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

  Different growth patterns occur in different parts of the county and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Deschutes ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Deschutes County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the county and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Deschutes County’s total population has grown rapidly since 2000, with an average annual growth rate of more than three percent between 2000 and 2010 (Figure 1); in addition, most of its sub-areas experienced even more rapid population growth during the 2000s. Sisters and La Pine posted the highest average annual growth rates at 7.8 and 6.3 percent, respectively, during the 2000 to 2010 period. Deschutes County’s positive population growth in the 2000s was the direct result of substantial net inmigration and steady natural increase (i.e., more births than deaths). Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to slower growth in births. The more rapid growth in deaths relative to that of births caused natural increase—the difference between births and deaths—to shrink between 2007 and 2014. While net in-migration and steady natural increase contributed to population growth during the early and middle years of the last decade, it is clear that in more recent years (i.e., 2010 to 2014) net inmigration played the most prominent role in population growth. Total population in Deschutes County as a whole as well as within its sub-areas is forecast to grow at a slightly faster pace in the first 20 years of the forecast period (2015 to 2035), relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to lead to natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Even so, Deschutes County’s total population is forecast to increase by more than 78,000 over the next 20 years (2015-2035) and by more than 186,000 over the entire 50 year forecast period (2015-2065). Sub-areas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Title: Coordinated Population Forecast for Deschutes County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the county and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Deschutes County’s total population has grown rapidly since 2000, with an average annual growth rate of more than three percent between 2000 and 2010 (Figure 1); in addition, most of its sub-areas experienced even more rapid population growth during the 2000s. Sisters and La Pine posted the highest average annual growth rates at 7.8 and 6.3 percent, respectively, during the 2000 to 2010 period. Deschutes County’s positive population growth in the 2000s was the direct result of substantial net inmigration and steady natural increase (i.e., more births than deaths). Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to slower growth in births. The more rapid growth in deaths relative to that of births caused natural increase—the difference between births and deaths—to shrink between 2007 and 2014. While net in-migration and steady natural increase contributed to population growth during the early and middle years of the last decade, it is clear that in more recent years (i.e., 2010 to 2014) net inmigration played the most prominent role in population growth. Total population in Deschutes County as a whole as well as within its sub-areas is forecast to grow at a slightly faster pace in the first 20 years of the forecast period (2015 to 2035), relative to the last 30 years (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to lead to natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration. Even so, Deschutes County’s total population is forecast to increase by more than 78,000 over the next 20 years (2015-2035) and by more than 186,000 over the entire 50 year forecast period (2015-2065). Sub-areas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Close

• 20. [Article] Coordinated Population Forecast for Douglas County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065

  Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Douglas ...

  Citation × Citation Citation Abstract Copy Title: Coordinated Population Forecast for Douglas County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Douglas County’s total population has grown slowly since 2000, with average annual growth rates of less than one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced more rapid population growth during the 2000s. Sutherlin, the second most populous UGB, and Canyonville posted the highest average annual growth rates at 1.7 and 3.0 percent, respectively, during the 2000 to 2010 period. Douglas County’s positive population growth in the 2000s was the direct result of substantial net inmigration. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to fewer births in recent years. The larger number of deaths relative to births caused natural decrease (more deaths than births) in every year from 2000 to 2014. While net in-migration outweighed declining natural increase during the early and middle years of the last decade, the gap between these two numbers shrank during the later years—bringing population growth nearly to a halt by 2010. In more recent years (2010 to 2014) net in-migration has increased, bringing with it population growth Total population in Douglas County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the near-term (2015 to 2035) compared to the long-term (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration Even so, Douglas County’s total population is forecast to increase by more than 20,000 over the next 20 years (2015-2035) and by more than 43,000 over the entire 50 year forecast period (2015-2065). Subareas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Title: Coordinated Population Forecast for Douglas County, its Urban Growth Boundaries (UGB), and Area Outside UGBs 2015-2065 Author: Portland State University. Population Research Center, Ruan, Xiaomin, Proehl, Risa, Jurjevich, Jason R., Rancik, Kevin, Kessi, Janai, Gorecki, Carson, Tetrick, David Year: 2015 Different growth patterns occur in different parts of the County and these local trends within the UGBs and the area outside UGBs collectively influence population growth rates for the county as a whole. Douglas County’s total population has grown slowly since 2000, with average annual growth rates of less than one percent between 2000 and 2010 (Figure 1); however, some of its sub-areas experienced more rapid population growth during the 2000s. Sutherlin, the second most populous UGB, and Canyonville posted the highest average annual growth rates at 1.7 and 3.0 percent, respectively, during the 2000 to 2010 period. Douglas County’s positive population growth in the 2000s was the direct result of substantial net inmigration. Meanwhile an aging population not only led to an increase in deaths, but also resulted in a smaller proportion of women in their childbearing years. This along with more women choosing to have fewer children and have them at older ages has led to fewer births in recent years. The larger number of deaths relative to births caused natural decrease (more deaths than births) in every year from 2000 to 2014. While net in-migration outweighed declining natural increase during the early and middle years of the last decade, the gap between these two numbers shrank during the later years—bringing population growth nearly to a halt by 2010. In more recent years (2010 to 2014) net in-migration has increased, bringing with it population growth Total population in Douglas County as a whole as well as within its sub-areas will likely grow at a slightly faster pace in the near-term (2015 to 2035) compared to the long-term (Figure 1). The tapering of growth rates is largely driven by an aging population—a demographic trend which is expected to contribute to natural decrease (more deaths than births). As natural decrease occurs, population growth will become increasingly reliant on net in-migration Even so, Douglas County’s total population is forecast to increase by more than 20,000 over the next 20 years (2015-2035) and by more than 43,000 over the entire 50 year forecast period (2015-2065). Subareas that showed strong population growth in the 2000s are expected to experience similar rates of population growth during the forecast period. Close